Overview

Dataset statistics

Number of variables28
Number of observations5507
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory224.0 B

Variable types

Numeric28

Alerts

Código is highly correlated with lat and 10 other fieldsHigh correlation
lat is highly correlated with Código and 10 other fieldsHigh correlation
long is highly correlated with Código and 6 other fieldsHigh correlation
Área (km²) is highly correlated with Densidade demográfica, 2000High correlation
Densidade demográfica, 2000 is highly correlated with Área (km²) and 2 other fieldsHigh correlation
Esperança de vida ao nascer, 2000 is highly correlated with Código and 9 other fieldsHigh correlation
Mortalidade até um ano de idade, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Taxa de fecundidade total, 2000 is highly correlated with Código and 9 other fieldsHigh correlation
Percentual de pessoas de 25 anos ou mais analfabetas, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Renda per Capita, 2000 is highly correlated with Código and 11 other fieldsHigh correlation
Índice de Gini, 2000 is highly correlated with Intensidade da pobreza, 2000High correlation
Intensidade da indigência, 2000 is highly correlated with Intensidade da pobreza, 2000High correlation
Intensidade da pobreza, 2000 is highly correlated with Código and 11 other fieldsHigh correlation
Índice de Desenvolvimento Humano Municipal, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Taxa de alfabetização, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Média de anos de estudo das pessoas de 25 anos ou mais de idade, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
População de 25 anos ou mais de idade, 1991 is highly correlated with População de 25 anos ou mais de idade, 2000 and 7 other fieldsHigh correlation
População de 25 anos ou mais de idade, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População de 65 anos ou mais de idade, 1991 is highly correlated with Densidade demográfica, 2000 and 8 other fieldsHigh correlation
População de 65 anos ou mais de idade, 2000 is highly correlated with Densidade demográfica, 2000 and 8 other fieldsHigh correlation
População total, 1991 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População total, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População urbana, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 6 other fieldsHigh correlation
População rural, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 5 other fieldsHigh correlation
receita_pop_mercado_2000 is highly correlated with Renda per Capita, 2000 and 8 other fieldsHigh correlation
Código is highly correlated with lat and 8 other fieldsHigh correlation
lat is highly correlated with Código and 9 other fieldsHigh correlation
long is highly correlated with Mortalidade até um ano de idade, 2000 and 2 other fieldsHigh correlation
Esperança de vida ao nascer, 2000 is highly correlated with Código and 9 other fieldsHigh correlation
Mortalidade até um ano de idade, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Taxa de fecundidade total, 2000 is highly correlated with Código and 9 other fieldsHigh correlation
Percentual de pessoas de 25 anos ou mais analfabetas, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Renda per Capita, 2000 is highly correlated with Código and 9 other fieldsHigh correlation
Índice de Gini, 2000 is highly correlated with Intensidade da pobreza, 2000High correlation
Intensidade da indigência, 2000 is highly correlated with Intensidade da pobreza, 2000High correlation
Intensidade da pobreza, 2000 is highly correlated with Código and 11 other fieldsHigh correlation
Índice de Desenvolvimento Humano Municipal, 2000 is highly correlated with Código and 9 other fieldsHigh correlation
Taxa de alfabetização, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Média de anos de estudo das pessoas de 25 anos ou mais de idade, 2000 is highly correlated with lat and 8 other fieldsHigh correlation
População de 25 anos ou mais de idade, 1991 is highly correlated with População de 25 anos ou mais de idade, 2000 and 7 other fieldsHigh correlation
População de 25 anos ou mais de idade, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População de 65 anos ou mais de idade, 1991 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População de 65 anos ou mais de idade, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População total, 1991 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População total, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População urbana, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População rural, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
receita_pop_mercado_2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
Código is highly correlated with latHigh correlation
lat is highly correlated with Código and 4 other fieldsHigh correlation
Esperança de vida ao nascer, 2000 is highly correlated with Mortalidade até um ano de idade, 2000 and 6 other fieldsHigh correlation
Mortalidade até um ano de idade, 2000 is highly correlated with lat and 7 other fieldsHigh correlation
Taxa de fecundidade total, 2000 is highly correlated with Renda per Capita, 2000 and 1 other fieldsHigh correlation
Percentual de pessoas de 25 anos ou mais analfabetas, 2000 is highly correlated with lat and 7 other fieldsHigh correlation
Renda per Capita, 2000 is highly correlated with Esperança de vida ao nascer, 2000 and 7 other fieldsHigh correlation
Intensidade da pobreza, 2000 is highly correlated with Esperança de vida ao nascer, 2000 and 6 other fieldsHigh correlation
Índice de Desenvolvimento Humano Municipal, 2000 is highly correlated with lat and 8 other fieldsHigh correlation
Taxa de alfabetização, 2000 is highly correlated with lat and 7 other fieldsHigh correlation
Média de anos de estudo das pessoas de 25 anos ou mais de idade, 2000 is highly correlated with Esperança de vida ao nascer, 2000 and 6 other fieldsHigh correlation
População de 25 anos ou mais de idade, 1991 is highly correlated with População de 25 anos ou mais de idade, 2000 and 6 other fieldsHigh correlation
População de 25 anos ou mais de idade, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 6 other fieldsHigh correlation
População de 65 anos ou mais de idade, 1991 is highly correlated with População de 25 anos ou mais de idade, 1991 and 6 other fieldsHigh correlation
População de 65 anos ou mais de idade, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 6 other fieldsHigh correlation
População total, 1991 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População total, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 7 other fieldsHigh correlation
População urbana, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 6 other fieldsHigh correlation
População rural, 2000 is highly correlated with População total, 1991 and 1 other fieldsHigh correlation
receita_pop_mercado_2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 6 other fieldsHigh correlation
Código is highly correlated with lat and 9 other fieldsHigh correlation
lat is highly correlated with Código and 10 other fieldsHigh correlation
long is highly correlated with Código and 11 other fieldsHigh correlation
Densidade demográfica, 2000 is highly correlated with População de 25 anos ou mais de idade, 1991 and 8 other fieldsHigh correlation
Distância à capital (km) is highly correlated with longHigh correlation
Esperança de vida ao nascer, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Mortalidade até um ano de idade, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Taxa de fecundidade total, 2000 is highly correlated with lat and 9 other fieldsHigh correlation
Percentual de pessoas de 25 anos ou mais analfabetas, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Renda per Capita, 2000 is highly correlated with Código and 19 other fieldsHigh correlation
Índice de Gini, 2000 is highly correlated with Intensidade da indigência, 2000 and 1 other fieldsHigh correlation
Intensidade da indigência, 2000 is highly correlated with Renda per Capita, 2000 and 2 other fieldsHigh correlation
Intensidade da pobreza, 2000 is highly correlated with Código and 12 other fieldsHigh correlation
Índice de Desenvolvimento Humano Municipal, 2000 is highly correlated with Código and 11 other fieldsHigh correlation
Taxa bruta de freqüência à escola, 2000 is highly correlated with Índice de Desenvolvimento Humano Municipal, 2000 and 1 other fieldsHigh correlation
Taxa de alfabetização, 2000 is highly correlated with Código and 10 other fieldsHigh correlation
Média de anos de estudo das pessoas de 25 anos ou mais de idade, 2000 is highly correlated with Código and 18 other fieldsHigh correlation
População de 25 anos ou mais de idade, 1991 is highly correlated with Densidade demográfica, 2000 and 10 other fieldsHigh correlation
População de 25 anos ou mais de idade, 2000 is highly correlated with Densidade demográfica, 2000 and 10 other fieldsHigh correlation
População de 65 anos ou mais de idade, 1991 is highly correlated with Densidade demográfica, 2000 and 9 other fieldsHigh correlation
População de 65 anos ou mais de idade, 2000 is highly correlated with Densidade demográfica, 2000 and 10 other fieldsHigh correlation
População total, 1991 is highly correlated with Densidade demográfica, 2000 and 10 other fieldsHigh correlation
População total, 2000 is highly correlated with Densidade demográfica, 2000 and 10 other fieldsHigh correlation
População urbana, 2000 is highly correlated with Densidade demográfica, 2000 and 10 other fieldsHigh correlation
População rural, 2000 is highly correlated with Densidade demográfica, 2000 and 8 other fieldsHigh correlation
receita_pop_mercado_2000 is highly correlated with Densidade demográfica, 2000 and 10 other fieldsHigh correlation
População de 25 anos ou mais de idade, 1991 is highly skewed (γ1 = 42.99006289) Skewed
População de 25 anos ou mais de idade, 2000 is highly skewed (γ1 = 40.209551) Skewed
População de 65 anos ou mais de idade, 1991 is highly skewed (γ1 = 43.53056955) Skewed
População de 65 anos ou mais de idade, 2000 is highly skewed (γ1 = 41.98054303) Skewed
População total, 1991 is highly skewed (γ1 = 41.15205281) Skewed
População total, 2000 is highly skewed (γ1 = 38.7818949) Skewed
População urbana, 2000 is highly skewed (γ1 = 37.42383946) Skewed
População rural, 2000 is highly skewed (γ1 = 37.99867653) Skewed
receita_pop_mercado_2000 is highly skewed (γ1 = 46.30202999) Skewed
Código has unique values Unique
receita_pop_mercado_2000 has unique values Unique
População rural, 2000 has 56 (1.0%) zeros Zeros

Reproduction

Analysis started2022-03-27 01:43:37.983606
Analysis finished2022-03-27 01:45:01.335744
Duration1 minute and 23.35 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Código
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct5507
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324164.5173
Minimum110001
Maximum530010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:01.574910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum110001
5-th percentile150763
Q1251125
median314467
Q3411655
95-th percentile510713.5
Maximum530010
Range420009
Interquartile range (IQR)160530

Descriptive statistics

Standard deviation97977.63389
Coefficient of variation (CV)0.302246633
Kurtosis-0.499624302
Mean324164.5173
Median Absolute Deviation (MAD)73747
Skewness0.1296641822
Sum1785173997
Variance9599616743
MonotonicityNot monotonic
2022-03-26T22:45:01.683913image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5200051
 
< 0.1%
3537201
 
< 0.1%
3149401
 
< 0.1%
2512721
 
< 0.1%
4314201
 
< 0.1%
3149301
 
< 0.1%
2207931
 
< 0.1%
2207901
 
< 0.1%
5006401
 
< 0.1%
2108251
 
< 0.1%
Other values (5497)5497
99.8%
ValueCountFrequency (%)
1100011
< 0.1%
1100021
< 0.1%
1100031
< 0.1%
1100041
< 0.1%
1100051
< 0.1%
1100061
< 0.1%
1100071
< 0.1%
1100081
< 0.1%
1100091
< 0.1%
1100101
< 0.1%
ValueCountFrequency (%)
5300101
< 0.1%
5222301
< 0.1%
5222201
< 0.1%
5222051
< 0.1%
5222001
< 0.1%
5221901
< 0.1%
5221851
< 0.1%
5221801
< 0.1%
5221701
< 0.1%
5221601
< 0.1%

lat
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5121
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.40102593
Minimum-33.6866
Maximum4.60314
Zeros0
Zeros (%)0.0%
Negative5484
Negative (%)99.6%
Memory size43.1 KiB
2022-03-26T22:45:01.793941image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-33.6866
5-th percentile-28.779
Q1-22.7706
median-18.0597
Q3-8.46293
95-th percentile-3.500023
Maximum4.60314
Range38.28974
Interquartile range (IQR)14.30767

Descriptive statistics

Standard deviation8.253821725
Coefficient of variation (CV)-0.5032503307
Kurtosis-1.18123531
Mean-16.40102593
Median Absolute Deviation (MAD)6.8637
Skewness0.1481256073
Sum-90320.44982
Variance68.12557307
MonotonicityNot monotonic
2022-03-26T22:45:01.899947image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.816015
 
0.1%
-22.21835
 
0.1%
-6.860925
 
0.1%
-15.95144
 
0.1%
-22.84954
 
0.1%
-13.6214
 
0.1%
-6.71764
 
0.1%
-3.651124
 
0.1%
-21.12614
 
0.1%
-8.360974
 
0.1%
Other values (5111)5464
99.2%
ValueCountFrequency (%)
-33.68661
< 0.1%
-33.5251
< 0.1%
-32.56041
< 0.1%
-32.23271
< 0.1%
-32.03491
< 0.1%
-32.0241
< 0.1%
-32.01511
< 0.1%
-31.86421
< 0.1%
-31.84191
< 0.1%
-31.76491
< 0.1%
ValueCountFrequency (%)
4.603141
< 0.1%
4.47991
< 0.1%
3.88531
< 0.1%
3.840741
< 0.1%
3.645711
< 0.1%
2.609941
< 0.1%
2.504751
< 0.1%
2.439981
< 0.1%
2.052671
< 0.1%
1.827661
< 0.1%

long
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5074
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-46.15276386
Minimum-72.8997
Maximum-32.4107
Zeros0
Zeros (%)0.0%
Negative5507
Negative (%)100.0%
Memory size43.1 KiB
2022-03-26T22:45:02.013911image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-72.8997
5-th percentile-55.13412
Q1-50.79005
median-46.3716
Q3-41.29785
95-th percentile-36.16141
Maximum-32.4107
Range40.489
Interquartile range (IQR)9.4922

Descriptive statistics

Standard deviation6.408194244
Coefficient of variation (CV)-0.1388474645
Kurtosis0.4334203044
Mean-46.15276386
Median Absolute Deviation (MAD)4.7142
Skewness-0.41458818
Sum-254163.2706
Variance41.06495347
MonotonicityNot monotonic
2022-03-26T22:45:02.120940image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-36.91785
 
0.1%
-38.64535
 
0.1%
-44.85935
 
0.1%
-36.56964
 
0.1%
-46.74154
 
0.1%
-48.90864
 
0.1%
-38.64274
 
0.1%
-56.48364
 
0.1%
-53.76424
 
0.1%
-45.37744
 
0.1%
Other values (5064)5464
99.2%
ValueCountFrequency (%)
-72.89971
 
< 0.1%
-72.79971
 
< 0.1%
-72.75371
 
< 0.1%
-72.67563
0.1%
-72.6611
 
< 0.1%
-72.59071
 
< 0.1%
-71.89741
 
< 0.1%
-71.69341
 
< 0.1%
-70.77221
 
< 0.1%
-70.49021
 
< 0.1%
ValueCountFrequency (%)
-32.41071
< 0.1%
-34.81512
< 0.1%
-34.82841
< 0.1%
-34.85451
< 0.1%
-34.86411
< 0.1%
-34.86842
< 0.1%
-34.87481
< 0.1%
-34.87711
< 0.1%
-34.89711
< 0.1%
-34.89841
< 0.1%

Área (km²)
Real number (ℝ≥0)

HIGH CORRELATION

Distinct4535
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1549.211476
Minimum2.9
Maximum161445.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:02.234913image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile83.26
Q1205.7
median417.2
Q31031.45
95-th percentile5661.77
Maximum161445.9
Range161443
Interquartile range (IQR)825.75

Descriptive statistics

Standard deviation5738.392465
Coefficient of variation (CV)3.704073041
Kurtosis245.0309334
Mean1549.211476
Median Absolute Deviation (MAD)272.1
Skewness13.30574374
Sum8531507.6
Variance32929148.08
MonotonicityNot monotonic
2022-03-26T22:45:02.337977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204.75
 
0.1%
252.95
 
0.1%
203.35
 
0.1%
191.45
 
0.1%
217.85
 
0.1%
184.34
 
0.1%
273.84
 
0.1%
208.14
 
0.1%
128.54
 
0.1%
286.14
 
0.1%
Other values (4525)5462
99.2%
ValueCountFrequency (%)
2.91
< 0.1%
3.71
< 0.1%
11.21
< 0.1%
15.41
< 0.1%
17.21
< 0.1%
17.61
< 0.1%
18.11
< 0.1%
18.41
< 0.1%
19.21
< 0.1%
20.51
< 0.1%
ValueCountFrequency (%)
161445.91
< 0.1%
123120.91
< 0.1%
1096691
< 0.1%
1080861
< 0.1%
89713.11
< 0.1%
84607.31
< 0.1%
76687.11
< 0.1%
73287.81
< 0.1%
69857.41
< 0.1%
68508.61
< 0.1%

Densidade demográfica, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct1408
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.73186853
Minimum0.1
Maximum12881.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:02.449950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2.1
Q111.3
median23.6
Q348
95-th percentile211.18
Maximum12881.4
Range12881.3
Interquartile range (IQR)36.7

Descriptive statistics

Standard deviation524.0061847
Coefficient of variation (CV)5.41709979
Kurtosis248.9085432
Mean96.73186853
Median Absolute Deviation (MAD)15.2
Skewness14.27416449
Sum532702.4
Variance274582.4816
MonotonicityNot monotonic
2022-03-26T22:45:02.559950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.723
 
0.4%
2.722
 
0.4%
11.520
 
0.4%
4.920
 
0.4%
5.519
 
0.3%
23.919
 
0.3%
12.919
 
0.3%
219
 
0.3%
17.319
 
0.3%
11.418
 
0.3%
Other values (1398)5309
96.4%
ValueCountFrequency (%)
0.11
 
< 0.1%
0.24
 
0.1%
0.315
0.3%
0.414
0.3%
0.510
0.2%
0.614
0.3%
0.715
0.3%
0.88
0.1%
0.917
0.3%
114
0.3%
ValueCountFrequency (%)
12881.41
< 0.1%
11608.81
< 0.1%
9999.91
< 0.1%
9819.11
< 0.1%
9675.71
< 0.1%
9632.21
< 0.1%
9100.31
< 0.1%
7998.51
< 0.1%
68141
< 0.1%
6808.11
< 0.1%

Distância à capital (km)
Real number (ℝ≥0)

HIGH CORRELATION

Distinct5481
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253.2126201
Minimum0
Maximum1474.31459
Zeros27
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:02.670947image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.09187456
Q1121.8589065
median228.262939
Q3358.0720443
95-th percentile538.2817312
Maximum1474.31459
Range1474.31459
Interquartile range (IQR)236.2131379

Descriptive statistics

Standard deviation163.2105315
Coefficient of variation (CV)0.6445592302
Kurtosis1.999171635
Mean253.2126201
Median Absolute Deviation (MAD)116.01325
Skewness0.9687732403
Sum1394441.899
Variance26637.6776
MonotonicityNot monotonic
2022-03-26T22:45:02.772948image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
0.5%
101.01396791
 
< 0.1%
211.0365871
 
< 0.1%
71.84066381
 
< 0.1%
253.84812531
 
< 0.1%
23.912350871
 
< 0.1%
335.90897831
 
< 0.1%
166.01638881
 
< 0.1%
260.42972181
 
< 0.1%
126.10226221
 
< 0.1%
Other values (5471)5471
99.3%
ValueCountFrequency (%)
027
0.5%
3.607534231
 
< 0.1%
4.9466748881
 
< 0.1%
5.760908971
 
< 0.1%
6.8526217081
 
< 0.1%
7.6888748251
 
< 0.1%
8.0321197451
 
< 0.1%
8.0728617551
 
< 0.1%
8.247119781
 
< 0.1%
8.5699769311
 
< 0.1%
ValueCountFrequency (%)
1474.314591
< 0.1%
1363.9214131
< 0.1%
1206.1742861
< 0.1%
1159.7358011
< 0.1%
1154.0543151
< 0.1%
1136.1239431
< 0.1%
1118.560351
< 0.1%
1106.6556611
< 0.1%
1028.4345251
< 0.1%
990.08209121
< 0.1%

Esperança de vida ao nascer, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct1577
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.748925
Minimum54.35
Maximum78.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:02.878977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum54.35
5-th percentile58.733
Q164.53
median68.24
Q371.44
95-th percentile74.94
Maximum78.18
Range23.83
Interquartile range (IQR)6.91

Descriptive statistics

Standard deviation4.860915123
Coefficient of variation (CV)0.07174896314
Kurtosis-0.5338539365
Mean67.748925
Median Absolute Deviation (MAD)3.42
Skewness-0.3741631339
Sum373093.33
Variance23.62849583
MonotonicityNot monotonic
2022-03-26T22:45:02.982978image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.8719
 
0.3%
67.8918
 
0.3%
67.6317
 
0.3%
69.7715
 
0.3%
70.7715
 
0.3%
68.4115
 
0.3%
65.2114
 
0.3%
73.8314
 
0.3%
70.6414
 
0.3%
73.7314
 
0.3%
Other values (1567)5352
97.2%
ValueCountFrequency (%)
54.351
< 0.1%
54.91
< 0.1%
55.151
< 0.1%
55.182
< 0.1%
55.221
< 0.1%
55.271
< 0.1%
55.352
< 0.1%
55.371
< 0.1%
55.411
< 0.1%
55.441
< 0.1%
ValueCountFrequency (%)
78.181
< 0.1%
77.91
< 0.1%
77.821
< 0.1%
77.781
< 0.1%
77.761
< 0.1%
77.751
< 0.1%
77.731
< 0.1%
77.692
< 0.1%
77.671
< 0.1%
77.641
< 0.1%

Mortalidade até um ano de idade, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2615
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.0833757
Minimum5.38
Maximum109.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:03.087971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5.38
5-th percentile11.32
Q118.64
median29.51
Q346.15
95-th percentile69.58
Maximum109.67
Range104.29
Interquartile range (IQR)27.51

Descriptive statistics

Standard deviation18.47055076
Coefficient of variation (CV)0.541922576
Kurtosis-0.318751709
Mean34.0833757
Median Absolute Deviation (MAD)12.79
Skewness0.7204590123
Sum187697.15
Variance341.1612454
MonotonicityNot monotonic
2022-03-26T22:45:03.191977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.3913
 
0.2%
17.8911
 
0.2%
11.9411
 
0.2%
22.5110
 
0.2%
11.0110
 
0.2%
13.3810
 
0.2%
16.7210
 
0.2%
45.579
 
0.2%
40.879
 
0.2%
15.519
 
0.2%
Other values (2605)5405
98.1%
ValueCountFrequency (%)
5.381
< 0.1%
6.041
< 0.1%
6.221
< 0.1%
6.281
< 0.1%
6.391
< 0.1%
6.491
< 0.1%
6.931
< 0.1%
6.991
< 0.1%
7.061
< 0.1%
7.121
< 0.1%
ValueCountFrequency (%)
109.671
 
< 0.1%
98.121
 
< 0.1%
96.371
 
< 0.1%
95.591
 
< 0.1%
94.112
< 0.1%
91.831
 
< 0.1%
88.711
 
< 0.1%
87.324
0.1%
86.791
 
< 0.1%
85.81
 
< 0.1%

Taxa de fecundidade total, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct385
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.864844743
Minimum1.56
Maximum7.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:03.304949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1.56
5-th percentile2.03
Q12.32
median2.67
Q33.23
95-th percentile4.34
Maximum7.79
Range6.23
Interquartile range (IQR)0.91

Descriptive statistics

Standard deviation0.7444541954
Coefficient of variation (CV)0.2598584783
Kurtosis3.16764761
Mean2.864844743
Median Absolute Deviation (MAD)0.42
Skewness1.469955127
Sum15776.7
Variance0.5542120491
MonotonicityNot monotonic
2022-03-26T22:45:03.406646image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2360
 
1.1%
2.3759
 
1.1%
2.2556
 
1.0%
2.2456
 
1.0%
2.2656
 
1.0%
2.4154
 
1.0%
2.4252
 
0.9%
2.3952
 
0.9%
2.2151
 
0.9%
2.5251
 
0.9%
Other values (375)4960
90.1%
ValueCountFrequency (%)
1.561
 
< 0.1%
1.571
 
< 0.1%
1.611
 
< 0.1%
1.651
 
< 0.1%
1.683
0.1%
1.692
< 0.1%
1.732
< 0.1%
1.741
 
< 0.1%
1.762
< 0.1%
1.772
< 0.1%
ValueCountFrequency (%)
7.791
< 0.1%
7.761
< 0.1%
7.282
< 0.1%
6.911
< 0.1%
6.821
< 0.1%
6.81
< 0.1%
6.681
< 0.1%
6.582
< 0.1%
6.311
< 0.1%
6.231
< 0.1%

Percentual de pessoas de 25 anos ou mais analfabetas, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3339
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.66841111
Minimum2.02
Maximum70.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:03.514674image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2.02
5-th percentile7.073
Q113.97
median22.6
Q339.78
95-th percentile53.007
Maximum70.26
Range68.24
Interquartile range (IQR)25.81

Descriptive statistics

Standard deviation15.16446197
Coefficient of variation (CV)0.5686301261
Kurtosis-0.9508703029
Mean26.66841111
Median Absolute Deviation (MAD)11.24
Skewness0.4711959496
Sum146862.94
Variance229.960907
MonotonicityNot monotonic
2022-03-26T22:45:03.615646image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.376
 
0.1%
13.786
 
0.1%
8.086
 
0.1%
9.666
 
0.1%
15.696
 
0.1%
20.066
 
0.1%
17.155
 
0.1%
13.795
 
0.1%
9.375
 
0.1%
14.485
 
0.1%
Other values (3329)5451
99.0%
ValueCountFrequency (%)
2.021
< 0.1%
2.191
< 0.1%
2.281
< 0.1%
2.321
< 0.1%
2.432
< 0.1%
2.721
< 0.1%
2.771
< 0.1%
2.821
< 0.1%
2.881
< 0.1%
2.981
< 0.1%
ValueCountFrequency (%)
70.261
< 0.1%
70.131
< 0.1%
70.011
< 0.1%
68.531
< 0.1%
66.611
< 0.1%
66.471
< 0.1%
66.331
< 0.1%
65.851
< 0.1%
65.691
< 0.1%
65.061
< 0.1%

Renda per Capita, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4986
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.8141602
Minimum28.38
Maximum954.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:03.733675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum28.38
5-th percentile58.42
Q186.495
median159.1
Q3232.695
95-th percentile341.376
Maximum954.65
Range926.27
Interquartile range (IQR)146.2

Descriptive statistics

Standard deviation96.42534677
Coefficient of variation (CV)0.5645044104
Kurtosis2.779039571
Mean170.8141602
Median Absolute Deviation (MAD)72.91
Skewness1.14525787
Sum940673.58
Variance9297.8475
MonotonicityNot monotonic
2022-03-26T22:45:03.841675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.154
 
0.1%
85.814
 
0.1%
69.824
 
0.1%
80.074
 
0.1%
55.973
 
0.1%
358.053
 
0.1%
211.543
 
0.1%
80.693
 
0.1%
72.093
 
0.1%
62.833
 
0.1%
Other values (4976)5473
99.4%
ValueCountFrequency (%)
28.381
< 0.1%
30.431
< 0.1%
31.931
< 0.1%
34.531
< 0.1%
35.131
< 0.1%
35.491
< 0.1%
36.821
< 0.1%
36.961
< 0.1%
37.611
< 0.1%
37.831
< 0.1%
ValueCountFrequency (%)
954.651
< 0.1%
8341
< 0.1%
809.181
< 0.1%
762.051
< 0.1%
729.621
< 0.1%
709.881
< 0.1%
701.421
< 0.1%
670.281
< 0.1%
667.681
< 0.1%
627.471
< 0.1%

Índice de Gini, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct47
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5607336118
Minimum0.36
Maximum0.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:03.946675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.36
5-th percentile0.47
Q10.52
median0.56
Q30.6
95-th percentile0.66
Maximum0.82
Range0.46
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.05866296361
Coefficient of variation (CV)0.1046182401
Kurtosis0.5885888231
Mean0.5607336118
Median Absolute Deviation (MAD)0.04
Skewness0.3578944052
Sum3087.96
Variance0.0034413433
MonotonicityNot monotonic
2022-03-26T22:45:04.052675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.56407
 
7.4%
0.55388
 
7.0%
0.53371
 
6.7%
0.57365
 
6.6%
0.54364
 
6.6%
0.52332
 
6.0%
0.58332
 
6.0%
0.59300
 
5.4%
0.6296
 
5.4%
0.51283
 
5.1%
Other values (37)2069
37.6%
ValueCountFrequency (%)
0.362
 
< 0.1%
0.371
 
< 0.1%
0.384
 
0.1%
0.394
 
0.1%
0.45
 
0.1%
0.419
 
0.2%
0.4214
 
0.3%
0.4323
0.4%
0.4423
0.4%
0.4541
0.7%
ValueCountFrequency (%)
0.821
 
< 0.1%
0.811
 
< 0.1%
0.84
 
0.1%
0.792
 
< 0.1%
0.783
 
0.1%
0.773
 
0.1%
0.763
 
0.1%
0.756
0.1%
0.7411
0.2%
0.7310
0.2%

Intensidade da indigência, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2943
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.78621028
Minimum0.02
Maximum88.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:04.162645image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile32.443
Q142.83
median49.51
Q356.455
95-th percentile68.037
Maximum88.35
Range88.33
Interquartile range (IQR)13.625

Descriptive statistics

Standard deviation10.57148348
Coefficient of variation (CV)0.2123375815
Kurtosis0.2025996229
Mean49.78621028
Median Absolute Deviation (MAD)6.79
Skewness0.119046303
Sum274172.66
Variance111.7562631
MonotonicityNot monotonic
2022-03-26T22:45:04.266645image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2011
 
0.2%
49.059
 
0.2%
809
 
0.2%
48.958
 
0.1%
44.498
 
0.1%
52.967
 
0.1%
50.677
 
0.1%
59.497
 
0.1%
44.297
 
0.1%
39.047
 
0.1%
Other values (2933)5427
98.5%
ValueCountFrequency (%)
0.021
 
< 0.1%
9.961
 
< 0.1%
13.551
 
< 0.1%
17.721
 
< 0.1%
19.51
 
< 0.1%
19.671
 
< 0.1%
19.831
 
< 0.1%
2011
0.2%
20.231
 
< 0.1%
20.661
 
< 0.1%
ValueCountFrequency (%)
88.351
< 0.1%
87.411
< 0.1%
87.191
< 0.1%
84.151
< 0.1%
83.41
< 0.1%
82.311
< 0.1%
82.011
< 0.1%
81.81
< 0.1%
81.781
< 0.1%
81.391
< 0.1%

Intensidade da pobreza, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2962
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.08605956
Minimum15.76
Maximum83.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:04.373675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum15.76
5-th percentile31.823
Q138.19
median46.23
Q355.41
95-th percentile65.09
Maximum83.03
Range67.27
Interquartile range (IQR)17.22

Descriptive statistics

Standard deviation10.73251081
Coefficient of variation (CV)0.2279339344
Kurtosis-0.734942143
Mean47.08605956
Median Absolute Deviation (MAD)8.57
Skewness0.2704283272
Sum259302.93
Variance115.1867883
MonotonicityNot monotonic
2022-03-26T22:45:04.474646image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.938
 
0.1%
37.298
 
0.1%
52.228
 
0.1%
34.877
 
0.1%
52.377
 
0.1%
51.817
 
0.1%
36.367
 
0.1%
35.246
 
0.1%
37.656
 
0.1%
60.046
 
0.1%
Other values (2952)5437
98.7%
ValueCountFrequency (%)
15.761
< 0.1%
17.151
< 0.1%
19.221
< 0.1%
20.461
< 0.1%
21.691
< 0.1%
21.871
< 0.1%
23.411
< 0.1%
23.461
< 0.1%
23.831
< 0.1%
23.921
< 0.1%
ValueCountFrequency (%)
83.031
< 0.1%
81.951
< 0.1%
79.961
< 0.1%
78.321
< 0.1%
77.761
< 0.1%
76.91
< 0.1%
76.611
< 0.1%
76.531
< 0.1%
76.341
< 0.1%
76.251
< 0.1%

Índice de Desenvolvimento Humano Municipal, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct379
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6993386599
Minimum0.467
Maximum0.919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:04.585675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.467
5-th percentile0.559
Q10.63
median0.713
Q30.768
95-th percentile0.816
Maximum0.919
Range0.452
Interquartile range (IQR)0.138

Descriptive statistics

Standard deviation0.08348542442
Coefficient of variation (CV)0.1193776767
Kurtosis-0.9228409158
Mean0.6993386599
Median Absolute Deviation (MAD)0.067
Skewness-0.2988836012
Sum3851.258
Variance0.006969816091
MonotonicityNot monotonic
2022-03-26T22:45:04.694646image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.73841
 
0.7%
0.75438
 
0.7%
0.75935
 
0.6%
0.7834
 
0.6%
0.74234
 
0.6%
0.7533
 
0.6%
0.77333
 
0.6%
0.77433
 
0.6%
0.74533
 
0.6%
0.78833
 
0.6%
Other values (369)5160
93.7%
ValueCountFrequency (%)
0.4671
 
< 0.1%
0.4751
 
< 0.1%
0.4792
< 0.1%
0.4841
 
< 0.1%
0.4861
 
< 0.1%
0.4872
< 0.1%
0.4881
 
< 0.1%
0.4921
 
< 0.1%
0.4944
0.1%
0.4952
< 0.1%
ValueCountFrequency (%)
0.9191
< 0.1%
0.9081
< 0.1%
0.8861
< 0.1%
0.8751
< 0.1%
0.8711
< 0.1%
0.871
< 0.1%
0.8671
< 0.1%
0.8661
< 0.1%
0.8651
< 0.1%
0.8621
< 0.1%

Taxa bruta de freqüência à escola, 2000
Real number (ℝ≥0)

HIGH CORRELATION

Distinct2291
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.96686762
Minimum44.5
Maximum107.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:04.806648image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum44.5
5-th percentile66.632
Q173.99
median78.4
Q382.39
95-th percentile88.3
Maximum107.69
Range63.19
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation6.708877463
Coefficient of variation (CV)0.08604780039
Kurtosis1.249170567
Mean77.96686762
Median Absolute Deviation (MAD)4.18
Skewness-0.5080889481
Sum429363.54
Variance45.00903681
MonotonicityNot monotonic
2022-03-26T22:45:04.915647image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.6510
 
0.2%
77.2110
 
0.2%
76.269
 
0.2%
81.199
 
0.2%
82.149
 
0.2%
77.59
 
0.2%
77.859
 
0.2%
77.969
 
0.2%
80.78
 
0.1%
76.228
 
0.1%
Other values (2281)5417
98.4%
ValueCountFrequency (%)
44.51
< 0.1%
45.071
< 0.1%
45.661
< 0.1%
46.781
< 0.1%
47.581
< 0.1%
47.621
< 0.1%
48.922
< 0.1%
48.961
< 0.1%
49.841
< 0.1%
50.191
< 0.1%
ValueCountFrequency (%)
107.691
< 0.1%
105.271
< 0.1%
98.571
< 0.1%
97.751
< 0.1%
97.091
< 0.1%
96.641
< 0.1%
96.141
< 0.1%
96.061
< 0.1%
95.941
< 0.1%
95.761
< 0.1%

Taxa de alfabetização, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3035
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.23062648
Minimum39.34
Maximum99.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:05.024677image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum39.34
5-th percentile55.74
Q167.93
median82.04
Q388.34
95-th percentile93.95
Maximum99.09
Range59.75
Interquartile range (IQR)20.41

Descriptive statistics

Standard deviation12.46025131
Coefficient of variation (CV)0.1592758727
Kurtosis-0.7546047739
Mean78.23062648
Median Absolute Deviation (MAD)8.56
Skewness-0.5795697034
Sum430816.06
Variance155.2578626
MonotonicityNot monotonic
2022-03-26T22:45:05.132645image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.958
 
0.1%
87.967
 
0.1%
84.077
 
0.1%
87.427
 
0.1%
82.487
 
0.1%
86.97
 
0.1%
89.677
 
0.1%
83.297
 
0.1%
86.257
 
0.1%
836
 
0.1%
Other values (3025)5437
98.7%
ValueCountFrequency (%)
39.341
< 0.1%
40.051
< 0.1%
40.171
< 0.1%
40.981
< 0.1%
42.991
< 0.1%
43.051
< 0.1%
43.161
< 0.1%
43.361
< 0.1%
43.581
< 0.1%
44.431
< 0.1%
ValueCountFrequency (%)
99.091
< 0.1%
98.411
< 0.1%
98.211
< 0.1%
98.131
< 0.1%
98.081
< 0.1%
98.062
< 0.1%
98.051
< 0.1%
97.771
< 0.1%
97.711
< 0.1%
97.571
< 0.1%

Média de anos de estudo das pessoas de 25 anos ou mais de idade, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct615
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.039279099
Minimum0.81
Maximum9.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:05.251647image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.81
5-th percentile2.08
Q13.01
median4.07
Q34.91
95-th percentile6.197
Maximum9.65
Range8.84
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation1.288171186
Coefficient of variation (CV)0.3189111608
Kurtosis-0.2375034699
Mean4.039279099
Median Absolute Deviation (MAD)0.96
Skewness0.2666160794
Sum22244.31
Variance1.659385005
MonotonicityNot monotonic
2022-03-26T22:45:05.353669image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.4228
 
0.5%
4.2827
 
0.5%
4.3826
 
0.5%
4.3426
 
0.5%
4.9325
 
0.5%
3.6923
 
0.4%
4.4823
 
0.4%
2.8723
 
0.4%
4.4722
 
0.4%
2.5922
 
0.4%
Other values (605)5262
95.6%
ValueCountFrequency (%)
0.811
 
< 0.1%
1.041
 
< 0.1%
1.191
 
< 0.1%
1.211
 
< 0.1%
1.271
 
< 0.1%
1.283
0.1%
1.31
 
< 0.1%
1.311
 
< 0.1%
1.322
< 0.1%
1.332
< 0.1%
ValueCountFrequency (%)
9.651
< 0.1%
9.261
< 0.1%
9.051
< 0.1%
8.961
< 0.1%
8.761
< 0.1%
8.751
< 0.1%
8.581
< 0.1%
8.471
< 0.1%
8.431
< 0.1%
8.421
< 0.1%

População de 25 anos ou mais de idade, 1991
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct4343
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12212.64155
Minimum239
Maximum5106165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:05.458647image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum239
5-th percentile1076.3
Q12119.5
median4084
Q38104
95-th percentile31837.4
Maximum5106165
Range5105926
Interquartile range (IQR)5984.5

Descriptive statistics

Standard deviation89237.83168
Coefficient of variation (CV)7.307004904
Kurtosis2223.776625
Mean12212.64155
Median Absolute Deviation (MAD)2350
Skewness42.99006289
Sum67255017
Variance7963390603
MonotonicityNot monotonic
2022-03-26T22:45:05.566645image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18068
 
0.1%
15136
 
0.1%
30765
 
0.1%
13595
 
0.1%
17145
 
0.1%
18374
 
0.1%
12614
 
0.1%
13204
 
0.1%
50334
 
0.1%
18324
 
0.1%
Other values (4333)5458
99.1%
ValueCountFrequency (%)
2391
< 0.1%
2491
< 0.1%
2521
< 0.1%
2851
< 0.1%
3071
< 0.1%
3591
< 0.1%
3681
< 0.1%
3701
< 0.1%
3891
< 0.1%
4031
< 0.1%
ValueCountFrequency (%)
51061651
< 0.1%
31757341
< 0.1%
10201221
< 0.1%
9353161
< 0.1%
7916511
< 0.1%
7092511
< 0.1%
7053591
< 0.1%
6675081
< 0.1%
6290771
< 0.1%
4664231
< 0.1%

População de 25 anos ou mais de idade, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct4502
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15516.92718
Minimum422
Maximum5825893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:05.673645image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum422
5-th percentile1276.5
Q12502
median4930
Q310040
95-th percentile42787.6
Maximum5825893
Range5825471
Interquartile range (IQR)7538

Descriptive statistics

Standard deviation103902.8055
Coefficient of variation (CV)6.696094158
Kurtosis2021.874383
Mean15516.92718
Median Absolute Deviation (MAD)2910
Skewness40.209551
Sum85451718
Variance1.079579298 × 1010
MonotonicityNot monotonic
2022-03-26T22:45:06.267336image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47386
 
0.1%
12925
 
0.1%
25125
 
0.1%
20365
 
0.1%
26025
 
0.1%
21055
 
0.1%
21405
 
0.1%
28455
 
0.1%
19595
 
0.1%
16405
 
0.1%
Other values (4492)5456
99.1%
ValueCountFrequency (%)
4221
< 0.1%
4311
< 0.1%
4321
< 0.1%
4621
< 0.1%
4731
< 0.1%
4831
< 0.1%
4951
< 0.1%
5371
< 0.1%
5521
< 0.1%
5741
< 0.1%
ValueCountFrequency (%)
58258931
< 0.1%
35114981
< 0.1%
12471941
< 0.1%
12411411
< 0.1%
10610341
< 0.1%
10088461
< 0.1%
8800771
< 0.1%
7980241
< 0.1%
7655921
< 0.1%
6264071
< 0.1%

População de 65 anos ou mais de idade, 1991
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct1985
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1286.757581
Minimum17
Maximum499880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:06.377333image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile110
Q1241
median483
Q3988
95-th percentile3364.8
Maximum499880
Range499863
Interquartile range (IQR)747

Descriptive statistics

Standard deviation9290.633699
Coefficient of variation (CV)7.220189594
Kurtosis2147.399271
Mean1286.757581
Median Absolute Deviation (MAD)294
Skewness43.53056955
Sum7086174
Variance86315874.52
MonotonicityNot monotonic
2022-03-26T22:45:06.485053image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15618
 
0.3%
14816
 
0.3%
19916
 
0.3%
13715
 
0.3%
17115
 
0.3%
25815
 
0.3%
22514
 
0.3%
21914
 
0.3%
13214
 
0.3%
11213
 
0.2%
Other values (1975)5357
97.3%
ValueCountFrequency (%)
172
< 0.1%
182
< 0.1%
231
 
< 0.1%
261
 
< 0.1%
272
< 0.1%
281
 
< 0.1%
312
< 0.1%
322
< 0.1%
331
 
< 0.1%
353
0.1%
ValueCountFrequency (%)
4998801
< 0.1%
4031871
< 0.1%
947921
< 0.1%
828361
< 0.1%
743471
< 0.1%
741251
< 0.1%
691411
< 0.1%
595431
< 0.1%
437481
< 0.1%
411941
< 0.1%

População de 65 anos ou mais de idade, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct2286
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1804.085709
Minimum27
Maximum670780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:06.591027image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile162
Q1330.5
median652
Q31321.5
95-th percentile4779.7
Maximum670780
Range670753
Interquartile range (IQR)991

Descriptive statistics

Standard deviation12584.25809
Coefficient of variation (CV)6.975421417
Kurtosis2038.936259
Mean1804.085709
Median Absolute Deviation (MAD)393
Skewness41.98054303
Sum9935100
Variance158363551.7
MonotonicityNot monotonic
2022-03-26T22:45:06.693030image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35113
 
0.2%
17213
 
0.2%
32412
 
0.2%
24912
 
0.2%
17112
 
0.2%
25412
 
0.2%
26512
 
0.2%
42712
 
0.2%
27212
 
0.2%
19612
 
0.2%
Other values (2276)5385
97.8%
ValueCountFrequency (%)
271
< 0.1%
311
< 0.1%
441
< 0.1%
452
< 0.1%
531
< 0.1%
541
< 0.1%
552
< 0.1%
571
< 0.1%
601
< 0.1%
611
< 0.1%
ValueCountFrequency (%)
6707801
< 0.1%
5342241
< 0.1%
1392831
< 0.1%
1136851
< 0.1%
1113481
< 0.1%
1086661
< 0.1%
926261
< 0.1%
904761
< 0.1%
675261
< 0.1%
633681
< 0.1%

População total, 1991
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct4978
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26661.66824
Minimum618
Maximum9649519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:06.811057image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum618
5-th percentile2398
Q14945
median9748
Q318974.5
95-th percentile70497.3
Maximum9649519
Range9648901
Interquartile range (IQR)14029.5

Descriptive statistics

Standard deviation169000.4429
Coefficient of variation (CV)6.338704741
Kurtosis2119.318834
Mean26661.66824
Median Absolute Deviation (MAD)5753
Skewness41.15205281
Sum146825807
Variance2.856114969 × 1010
MonotonicityNot monotonic
2022-03-26T22:45:06.923028image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40645
 
0.1%
23984
 
0.1%
55294
 
0.1%
55314
 
0.1%
29974
 
0.1%
31543
 
0.1%
39353
 
0.1%
23803
 
0.1%
55233
 
0.1%
36283
 
0.1%
Other values (4968)5471
99.3%
ValueCountFrequency (%)
6181
< 0.1%
6441
< 0.1%
6501
< 0.1%
7511
< 0.1%
8301
< 0.1%
8311
< 0.1%
8371
< 0.1%
8521
< 0.1%
8691
< 0.1%
9071
< 0.1%
ValueCountFrequency (%)
96495191
< 0.1%
54807681
< 0.1%
20772561
< 0.1%
20201611
< 0.1%
17686371
< 0.1%
16010941
< 0.1%
13150351
< 0.1%
13102591
< 0.1%
12518981
< 0.1%
10849961
< 0.1%

População total, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct4993
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30833.33394
Minimum795
Maximum10434252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:07.038028image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum795
5-th percentile2483.6
Q15152.5
median10418
Q321356.5
95-th percentile84846.9
Maximum10434252
Range10433457
Interquartile range (IQR)16204

Descriptive statistics

Standard deviation186750.5759
Coefficient of variation (CV)6.056775316
Kurtosis1938.408713
Mean30833.33394
Median Absolute Deviation (MAD)6372
Skewness38.7818949
Sum169799170
Variance3.487577761 × 1010
MonotonicityNot monotonic
2022-03-26T22:45:07.149053image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37394
 
0.1%
32254
 
0.1%
145944
 
0.1%
63883
 
0.1%
31073
 
0.1%
26913
 
0.1%
42743
 
0.1%
88463
 
0.1%
56383
 
0.1%
43773
 
0.1%
Other values (4983)5474
99.4%
ValueCountFrequency (%)
7951
< 0.1%
8731
< 0.1%
8951
< 0.1%
9581
< 0.1%
9911
< 0.1%
11131
< 0.1%
11661
< 0.1%
11791
< 0.1%
11891
< 0.1%
12091
< 0.1%
ValueCountFrequency (%)
104342521
< 0.1%
58579041
< 0.1%
24431071
< 0.1%
22385261
< 0.1%
21414021
< 0.1%
20511461
< 0.1%
15873151
< 0.1%
14229051
< 0.1%
14058351
< 0.1%
13605901
< 0.1%

População urbana, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct4678
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25050.65535
Minimum0
Maximum9813187
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:07.263028image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile857.6
Q12402.5
median5314
Q313240.5
95-th percentile75092.7
Maximum9813187
Range9813187
Interquartile range (IQR)10838

Descriptive statistics

Standard deviation180012.2982
Coefficient of variation (CV)7.185931695
Kurtosis1807.306253
Mean25050.65535
Median Absolute Deviation (MAD)3670
Skewness37.42383946
Sum137953959
Variance3.240442752 × 1010
MonotonicityNot monotonic
2022-03-26T22:45:07.371058image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23245
 
0.1%
11864
 
0.1%
5684
 
0.1%
13024
 
0.1%
14794
 
0.1%
5934
 
0.1%
27624
 
0.1%
75274
 
0.1%
36724
 
0.1%
41654
 
0.1%
Other values (4668)5466
99.3%
ValueCountFrequency (%)
01
< 0.1%
1161
< 0.1%
1841
< 0.1%
1881
< 0.1%
1951
< 0.1%
2131
< 0.1%
2261
< 0.1%
2301
< 0.1%
2562
< 0.1%
2591
< 0.1%
ValueCountFrequency (%)
98131871
< 0.1%
58579041
< 0.1%
24421021
< 0.1%
22385261
< 0.1%
21414021
< 0.1%
19614991
< 0.1%
15873151
< 0.1%
14229051
< 0.1%
13967681
< 0.1%
13207391
< 0.1%

População rural, 2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct4291
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5782.678591
Minimum0
Maximum621065
Zeros56
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:07.478031image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile621.6
Q11843
median3666
Q37223
95-th percentile17050.5
Maximum621065
Range621065
Interquartile range (IQR)5380

Descriptive statistics

Standard deviation10438.88743
Coefficient of variation (CV)1.805199315
Kurtosis2195.053774
Mean5782.678591
Median Absolute Deviation (MAD)2235
Skewness37.99867653
Sum31845211
Variance108970370.8
MonotonicityNot monotonic
2022-03-26T22:45:07.585031image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
056
 
1.0%
15487
 
0.1%
36385
 
0.1%
6945
 
0.1%
25365
 
0.1%
15374
 
0.1%
10254
 
0.1%
15434
 
0.1%
33244
 
0.1%
15224
 
0.1%
Other values (4281)5409
98.2%
ValueCountFrequency (%)
056
1.0%
11
 
< 0.1%
71
 
< 0.1%
131
 
< 0.1%
341
 
< 0.1%
551
 
< 0.1%
671
 
< 0.1%
791
 
< 0.1%
871
 
< 0.1%
931
 
< 0.1%
ValueCountFrequency (%)
6210651
< 0.1%
896471
< 0.1%
801391
< 0.1%
762411
< 0.1%
750001
< 0.1%
609521
< 0.1%
600021
< 0.1%
596371
< 0.1%
572071
< 0.1%
522591
< 0.1%

cresc_popu_1991_2000
Real number (ℝ)

Distinct5500
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1124661869
Minimum-0.5160379625
Maximum3.439565053
Zeros3
Zeros (%)0.1%
Negative1535
Negative (%)27.9%
Memory size43.1 KiB
2022-03-26T22:45:07.695029image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.5160379625
5-th percentile-0.1621159472
Q1-0.01104970259
median0.08181276088
Q30.1879172479
95-th percentile0.504027378
Maximum3.439565053
Range3.955603016
Interquartile range (IQR)0.1989669505

Descriptive statistics

Standard deviation0.2378408761
Coefficient of variation (CV)2.11477674
Kurtosis33.53850313
Mean0.1124661869
Median Absolute Deviation (MAD)0.09940283287
Skewness3.72854032
Sum619.3512914
Variance0.05656828236
MonotonicityNot monotonic
2022-03-26T22:45:07.799028image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03
 
0.1%
0.68225844552
 
< 0.1%
0.026266416512
 
< 0.1%
0.13126614992
 
< 0.1%
-0.10294627382
 
< 0.1%
0.18374717832
 
< 0.1%
0.17601135561
 
< 0.1%
-0.29729729731
 
< 0.1%
0.053058731131
 
< 0.1%
0.025964659211
 
< 0.1%
Other values (5490)5490
99.7%
ValueCountFrequency (%)
-0.51603796251
< 0.1%
-0.47281962611
< 0.1%
-0.46119292661
< 0.1%
-0.45009689921
< 0.1%
-0.41969981241
< 0.1%
-0.41797961081
< 0.1%
-0.4050012891
< 0.1%
-0.40479529821
< 0.1%
-0.39993475781
< 0.1%
-0.39205475381
< 0.1%
ValueCountFrequency (%)
3.4395650531
< 0.1%
3.4394354151
< 0.1%
2.6553940321
< 0.1%
2.6071428571
< 0.1%
2.6061538461
< 0.1%
2.6045504641
< 0.1%
2.6039920161
< 0.1%
2.6039850561
< 0.1%
2.6019417481
< 0.1%
2.1827038251
< 0.1%

receita_pop_mercado_2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
UNIQUE

Distinct5507
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019952.19
Minimum14876.2614
Maximum1400368440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.1 KiB
2022-03-26T22:45:07.910059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum14876.2614
5-th percentile62842.67022
Q1143757.4985
median295317.5544
Q3733683.3526
95-th percentile5039942.759
Maximum1400368440
Range1400353564
Interquartile range (IQR)589925.8541

Descriptive statistics

Standard deviation23399818.82
Coefficient of variation (CV)11.5843429
Kurtosis2536.149147
Mean2019952.19
Median Absolute Deviation (MAD)189903.8196
Skewness46.30202999
Sum1.112387671 × 1010
Variance5.475515207 × 1014
MonotonicityNot monotonic
2022-03-26T22:45:08.013030image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224487.37741
 
< 0.1%
442205.22061
 
< 0.1%
54595.35181
 
< 0.1%
67442.04281
 
< 0.1%
455516.1161
 
< 0.1%
3192225.6171
 
< 0.1%
26166.54041
 
< 0.1%
515285.0341
 
< 0.1%
337234.921
 
< 0.1%
175690.66241
 
< 0.1%
Other values (5497)5497
99.8%
ValueCountFrequency (%)
14876.26141
< 0.1%
20567.19061
< 0.1%
20706.02161
< 0.1%
21000.72481
< 0.1%
21221.5741
< 0.1%
21418.17041
< 0.1%
22294.69441
< 0.1%
23198.99121
< 0.1%
24035.9241
< 0.1%
24050.6861
< 0.1%
ValueCountFrequency (%)
14003684401
< 0.1%
768926052.81
< 0.1%
274525665.41
< 0.1%
2731925461
< 0.1%
216446908.31
< 0.1%
212488238.41
< 0.1%
183453881.91
< 0.1%
144488958.51
< 0.1%
131129421.41
< 0.1%
122855325.21
< 0.1%

Interactions

2022-03-26T22:44:57.268462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:42.981129image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:45.676592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:48.499591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:51.316591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:54.245591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:56.979592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:59.863592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:02.447594image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:05.052384image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:07.883560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:10.672703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:13.503850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:16.085961image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:18.650249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:21.298249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:24.187395image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:26.922395image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:29.596475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:32.286446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:35.274446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:37.991446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:40.682476image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:43.527446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:46.157482image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:48.771462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:51.801462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:54.514462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:57.360462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:43.096664image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:45.763592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:48.593593image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:51.409591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:54.335590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:57.070592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:59.948621image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:02.535591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:05.139412image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:07.975561image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:10.759703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:13.588850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:16.172958image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:18.740249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:21.389249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:24.281395image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:27.011395image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:29.687446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:32.374446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:35.366445image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:38.082446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:40.774476image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:43.616446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:46.242446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:48.860463image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:51.889462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:54.606462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:57.463462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:43.258633image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:45.860592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:48.708592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:51.513591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:54.437594image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:57.170592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:00.041592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:02.630592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:05.234384image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:08.079560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:10.856703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:13.682849image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:16.265957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:18.837249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:21.488248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:24.382396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:27.110396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:29.785446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:32.474446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:35.467446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:38.182446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:40.876446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:43.713447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:46.337446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:48.962462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:51.987462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:54.709461image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:57.565462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:43.348635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:45.954591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:48.808616image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:51.615621image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:54.534623image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:57.267592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:00.134592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:02.725592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:05.496414image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:08.178560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:10.949704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:13.778850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:16.355958image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:18.931249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:21.582249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:24.484398image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:27.212395image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:29.883446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:32.571446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:35.566446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:38.278446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:40.980446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:43.806446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:46.437446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:49.059462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:52.086462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:54.810492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:57.671462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:43.450634image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:46.136592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:48.912592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:51.718591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:54.643592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:57.368592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:00.231591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:02.831591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:05.594384image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:08.285559image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:11.050703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:13.878850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:16.451957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:19.029249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:21.682249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:24.586396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:27.312397image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:29.988446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:32.670446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:35.670446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:38.379447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:41.085460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:43.903446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:46.534476image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:49.161462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:52.190462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:54.910462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:57.771462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:43.539636image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:46.236624image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:49.006592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:51.820591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:54.741593image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:57.464591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:00.323592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:02.926591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:05.687384image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:08.387560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:11.159703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:13.973450image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:16.542957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:19.123250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:21.776249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:24.682396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
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2022-03-26T22:43:48.399591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:51.205592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:54.141592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:56.879591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:43:59.760592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:02.350591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:04.958387image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:07.781559image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:10.570704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:13.408849image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:15.988919image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:18.553249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:21.200249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:24.090396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:26.822395image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:29.498446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:32.188445image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:35.177447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:37.889446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:40.579446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:43.420451image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:46.059446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:48.675492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:51.702462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:54.406462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-03-26T22:44:57.168492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2022-03-26T22:45:08.144059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-03-26T22:45:08.499029image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-03-26T22:45:08.848059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-03-26T22:45:09.213030image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-03-26T22:45:00.132464image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2022-03-26T22:45:01.058462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

CódigolatlongÁrea (km²)Densidade demográfica, 2000Distância à capital (km)Esperança de vida ao nascer, 2000Mortalidade até um ano de idade, 2000Taxa de fecundidade total, 2000Percentual de pessoas de 25 anos ou mais analfabetas, 2000Renda per Capita, 2000Índice de Gini, 2000Intensidade da indigência, 2000Intensidade da pobreza, 2000Índice de Desenvolvimento Humano Municipal, 2000Taxa bruta de freqüência à escola, 2000Taxa de alfabetização, 2000Média de anos de estudo das pessoas de 25 anos ou mais de idade, 2000População de 25 anos ou mais de idade, 1991População de 25 anos ou mais de idade, 2000População de 65 anos ou mais de idade, 1991População de 65 anos ou mais de idade, 2000População total, 1991População total, 2000População urbana, 2000População rural, 2000cresc_popu_1991_2000receita_pop_mercado_2000
0520005-16.75730-49.4412136.936.321.41430867.5827.702.8515.64205.270.5336.8934.400.74280.1788.034.871872243312122742274971309618750.1760112.244874e+05
1310010-18.48310-47.3916897.47.2390.87651372.9220.512.5414.48196.360.5251.9035.220.76074.5786.584.36330837813544596492644639272519-0.0070862.784620e+05
2520010-16.19700-48.70571047.710.978.64143569.5922.362.7721.81168.310.5647.0640.320.72374.1882.454.2442415918446686940211452720642460.2180394.240469e+05
3150010-1.72183-48.87881613.973.851.18455270.7725.613.1524.85102.140.5944.6151.040.70681.7680.744.283355444897379246889998911915270843483090.1916512.677441e+06
4310020-19.15510-45.44441822.412.3172.31154972.5021.592.4115.56253.680.5841.5331.680.77878.3987.554.7810163124061084159520689223601902233380.0807681.247903e+06
5230010-7.34588-39.0416182.645.9408.50362767.2042.983.5147.8371.760.6259.3565.180.62787.9959.972.753102372252660778898385320851770.0628721.323757e+05
6290010-13.24880-41.6619580.615.6342.63186568.7130.532.1831.65102.110.5553.3250.940.68178.3276.112.8942364879876105787549067355955080.0357552.036829e+05
7290020-8.72073-39.11621700.88.0476.83583959.4064.113.0739.1879.880.5651.4756.430.59578.3466.953.06417756157108421144913648552881200.1920692.398445e+05
8410010-23.30490-50.3133247.233.3258.42765669.6219.482.6026.43148.920.4734.0536.930.71075.6379.013.934465430039457710238825953562903-0.1932992.705847e+05
9420005-27.61260-51.0233198.014.0243.61901574.4014.872.5010.06166.910.5034.7839.670.77483.1089.154.5514581507131149324527757132062-0.1448381.018986e+05

Last rows

CódigolatlongÁrea (km²)Densidade demográfica, 2000Distância à capital (km)Esperança de vida ao nascer, 2000Mortalidade até um ano de idade, 2000Taxa de fecundidade total, 2000Percentual de pessoas de 25 anos ou mais analfabetas, 2000Renda per Capita, 2000Índice de Gini, 2000Intensidade da indigência, 2000Intensidade da pobreza, 2000Índice de Desenvolvimento Humano Municipal, 2000Taxa bruta de freqüência à escola, 2000Taxa de alfabetização, 2000Média de anos de estudo das pessoas de 25 anos ou mais de idade, 2000População de 25 anos ou mais de idade, 1991População de 25 anos ou mais de idade, 2000População de 65 anos ou mais de idade, 1991População de 65 anos ou mais de idade, 2000População total, 1991População total, 2000População urbana, 2000População rural, 2000cresc_popu_1991_2000receita_pop_mercado_2000
5497120070-10.65160-68.49694723.62.5106.84411367.6427.613.1633.81122.960.5641.0047.560.66975.0770.643.4933434864290638871611956599559610.3717303.234241e+05
5498421960-27.06670-52.3430212.020.7378.97373972.0720.332.109.66191.300.4631.4439.290.76980.3090.684.4624032524239330496144049463458-0.1122761.853467e+05
5499421970-26.95960-52.5374294.077.7399.91665473.8116.162.3710.96310.460.5850.0437.420.80984.0690.445.30861411996703114118580228571605867990.2301941.561161e+06
5500261650-8.80460-35.6212116.5116.7116.75834160.0683.203.8153.3564.990.5350.8656.700.56176.4156.062.43383654134787141066813597785757400.2745591.944072e+05
5501150840-7.09830-49.94373795.99.2646.64230969.2830.043.1123.34225.250.6042.1838.740.73978.1181.033.88157231514374811474281035220262648956-0.1772951.745327e+06
5502293360-10.82300-42.72455987.57.4517.24218255.4183.113.8437.1473.310.6260.0861.430.58081.8270.693.16146781784019502450403734471831565131530.1076217.212208e+05
5503251740-8.07901-37.1057143.412.8268.33447460.7458.402.8742.3189.610.4941.5848.100.59876.0663.052.898169541701701728185311866670.0723383.653041e+04
5504355715-21.05060-50.0552319.76.1447.39057976.028.132.2114.77195.160.4660.2338.000.77774.9286.924.829711135100152196119471332615-0.0071398.359483e+04
5505211400-3.27014-45.65532044.424.1186.46694360.0261.433.3344.6777.080.5745.0852.250.59076.1765.242.89128481763114502302365244613429082170520.2631157.823219e+05
5506421985-27.45210-51.5520297.88.8296.65723174.4014.872.508.08211.650.4543.4236.710.79886.9992.334.8610051310731112347263320535800.1218581.226004e+05